Apologies for the delay in getting this latest post out. If you read my last one, you’ll know that I’ve been in the United Kingdom for the last week. I’m writing this entry in the train down from York to Heathrow, from which I’ll shortly begin the gruelling 30-hour trip home to Adelaide.

Eight days on the other side of the planet is a bit of a cyclonic trip, but I can honestly say that it was entirely worth it. My first port of call was London where I attended the Zoological Society of London’s Protected Areas Symposium, which is the main topic on which I’ll elaborate shortly.

But I also visited my friend and colleague, Dr. Kate Parr at the University of Liverpool, where I also had the pleasure of talking with Rob Marrs and Mike Begon. Liverpool was also where I first observed the habits of a peculiar, yet extremely common species – the greater flabby, orange-skinned, mini-skirted, black-eyed scouser. Fascinating.

I then had the privilege and serendipitous indulgence of visiting the beautiful and quaint city of York where I gave another talk to the Environment Department at the University of York. My host, Dr. Kate Arnold was simply lovely, and I got to speak with a host of other very clever people including Callum Roberts, Phil Platts, Andy Marshall and Murray Rudd. Between the chats and real ales, mushy peas, pork pies and visits to the Minster, I was in north English heaven.

Enough of the cultural compliments – the title of this post was the take-home message of the ZSL symposium. There I gave a 25-minute talk summarising our recent paper on the performance of tropical protected areas around the globe, and added a few extra analyses in the process. One interesting result that was missing from the original paper was the country-level characteristics that explain variation in protected area ‘health’ (as we defined it in the Nature paper). After looking at a number of potential drives, including per-capita wealth, governance quality, environmental performance, human population density and the proportion of high conservation-value protected areas (IUCN Ia, Ib, II and IV categories), it came out that at least at that coarse country scale that only the proportion of high conservation-value protected areas explained any additional variation in health. In other words, the more category Ia, Ib, II and IV protected areas a country has (relative to the total), the better their protected areas do on average (and remember, we’re talking largely about developing and tropical nations here). Read the rest of this entry »

To all ecology people who read this blog (students, post-docs, academics), this is an intriguing, provocative and slightly worrying title. As ecology has matured into a full-fledged, hard-core, mathematical science on par with physics, chemistry and genetics (and is arguably today one of the most important sciences given how badly we’ve trashed our own home), its sophistication now threatens to render many of the traditional aspects of ecology redundant.

Let me explain.

As a person who cut his teeth in field ecology (with all the associated dirt, dangers, bites, stings, discomfort, thrills, headaches and disasters), I’ve had my fair share of fun and excitement collecting ecological data. There’s something quaintly Victorian (no, I am not referring to the state next door) about the romantic and obsessive naturalist collecting data to the exclusion of nearly all other aspects of civilised life; the intrepid adventurer in some of us takes over (likely influenced by the likes of David Attenborough) and we convince ourselves that our quest for the lonely datum will heal all of the Earth’s ailments.

Bollocks.

As I’ve matured in ecology and embraced its mathematical complexity and beauty, the recurring dilemma is that there are never enough data to answer the really big questions. We have sampled only a fraction of extant species, we know embarrassingly little about how ecosystems respond to disturbance, and we know next to nothing about the complexities of ecosystem services. And let’s not forget our infancy in understanding the synergies of extinctions in the past and projections into the future. Multiply this uncertainty by several orders of magnitude for ocean ecosystems.

Taylor’s power law is pretty straightforward itself – as you raise the abundance of a population by 1 unit on the logarithmic scale, you can expect its associated variance (think variance over time in a fluctuating population to make it easier) to rise by 2 logarithmic units (thus, the slope = 2). Why does this happen? Because a log-log (power) relationship between a vector and its square (remember: variance = standard deviation2) will give a multiplier of 2 (i.e., if x ~ y2, then log10x ~ 2log10y).

Well, thanks for the maths lesson, but what’s the application? It turns out that deviations from the mathematical expectation of a power-law slope = 2 reveal some very interesting ecological dynamics. Famously, Kilpatrick & Ives published a Letter in Nature in 2003 (Species interactions can explain Taylor’s power law for ecological time series) trying to explain why so many real populations have Taylor’s power law slopes < 2. As it turns out, the amount of competition occurring between species reduces the expected fluctuations for a given population size because of a kind of suppression by predators and competitors. Cool.

But that application was more a community-based examination and still largely theoretical. We decided to turn the power law a little on its ear and apply it to a different question – conservation biogeography. Read the rest of this entry »